KNIME Workflow Guidance

I need practical, one-on-one help building a complete machine-learning workflow in KNIME that takes raw text and ends with a reliable classification model.

I already have sample text data ready and a basic familiarity with the interface. This is some of the scope of work

Scope of Work
-Review and understand dataset
-Data cleaning, preparation, and feature engineering in KNIME
-Build and configure the logistic regression workflow
-Evaluate model performance and refine as needed
-Translate model outputs into stocking recommendations
-Walk through the entire workflow step‑by‑step
-Provide a final KNIME workflow file and documentation

If you’re experienced in KNIME’s text-processing extension and classification nodes and can explain concepts in simple terms while we build the workflow together.